Source data and code for a Scopus-based bibliometric study for female first authorship of Artificial Intelligence Research in Africa

<b>To cite the work:</b> Folorunso, S., Turki, H., Dossou, B., &amp; Salami, F. (2025). African Female Authorship in Artificial Intelligence Research: A Scopus-based Bibliometric Study. In <i>The 6th International Workshop on Democracy and AI (DemocrAI@IJCAI 2025)</i><b>.</b><b>Source data:</b><b>scopus (1).csv</b>, <b>scopus (2)</b><b>.csv</b>, and <b>scopus (3)</b><b>.csv</b>: Output of the data retrieval from Scopus.<b>dataset</b><b>.csv</b>: Final dataset after resolving first names to their corresponding gender using genderize.io.<b>Source code:</b><b>Data Processing.</b><b>ipynb</b>: Creating the final dataset by merging the initial data and assigning gender to the first names of the scientists.<b>Data_Analysis.ipynb</b>: Generating tables and figures for the Paper.